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2020 – today
- 2023
[c117]Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. ICML 2023: 19360-19384- [c116]Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith:
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula. ICRA 2023: 5501-5507 - [c115]Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam:
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing. ICRA 2023: 12576-12582 - [c114]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. L4DC 2023: 770-782 - [c113]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Sameul Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023 - [i99]Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng:
Adversarial Model for Offline Reinforcement Learning. CoRR abs/2302.11048 (2023) - [i98]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR abs/2303.15771 (2023) - [i97]Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. CoRR abs/2303.17156 (2023) - [i96]Carolina Higuera, Byron Boots, Mustafa Mukadam:
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models. CoRR abs/2304.01182 (2023) - [i95]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. CoRR abs/2304.08663 (2023) - [i94]Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith:
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula. CoRR abs/2305.03735 (2023) - [i93]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRR abs/2306.09557 (2023) - 2022
- [j11]Karl Van Wyk
, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. IEEE Robotics Autom. Lett. 7(2): 3202-3209 (2022) - [j10]Hayden Nichols, Mark Jimenez, Zachary Goddard, Michael Sparapany, Byron Boots, Anirban Mazumdar:
Adversarial Sampling-Based Motion Planning. IEEE Robotics Autom. Lett. 7(2): 4267-4274 (2022) - [c112]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRL 2022: 967-977 - [c111]Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. CoRL 2022: 1733-1742 - [c110]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRL 2022: 2205-2214 - [c109]Sandesh Adhikary, Byron Boots:
Sampling Over Riemannian Manifolds Using Kernel Herding. ICRA 2022: 3646-3653 - [c108]Jacob Sacks, Byron Boots:
Learning to Optimize in Model Predictive Control. ICRA 2022: 10549-10556 - [c107]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. ICRA 2022: 11094-11101 - [c106]Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. IROS 2022: 7672-7679 - [c105]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. WACV 2022: 1040-1049 - [i92]Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRR abs/2202.07068 (2022) - [i91]Alexander Lambert, An T. Le, Julen Urain, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. CoRR abs/2204.05369 (2022) - [i90]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRR abs/2206.13631 (2022) - [i89]Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam:
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing. CoRR abs/2210.09297 (2022) - [i88]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRR abs/2210.12209 (2022) - [i87]Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. CoRR abs/2212.02587 (2022) - [i86]Jacob Sacks, Byron Boots:
Learning to Optimize in Model Predictive Control. CoRR abs/2212.02603 (2022) - 2021
- [j9]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging experience in lazy search. Auton. Robots 45(7): 979-996 (2021) - [j8]Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots:
Combining pretrained CNN feature extractors to enhance clustering of complex natural images. Neurocomputing 423: 551-571 (2021) - [j7]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multitask Motion Policies. IEEE Trans Autom. Sci. Eng. 18(3): 968-987 (2021) - [c104]Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots:
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. AISTATS 2021: 2080-2088 - [c103]Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox:
Semantic Terrain Classification for Off-Road Autonomous Driving. CoRL 2021: 619-629 - [c102]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. CoRL 2021: 750-759 - [c101]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRL 2021: 773-783 - [c100]Boling Yang, Golnaz Habibi, Patrick Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRL 2021: 839-849 - [c99]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. ICLR 2021 - [c98]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. ICML 2021: 10630-10640 - [c97]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. ICRA 2021: 6185-6191 - [c96]Nathan Hatch, Byron Boots:
The Value of Planning for Infinite-Horizon Model Predictive Control. ICRA 2021: 7372-7378 - [c95]Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff:
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. IROS 2021: 7792-7799 - [c94]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems 2021 - [c93]Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots:
RMP2: A Structured Composable Policy Class for Robot Learning. Robotics: Science and Systems 2021 - [c92]Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining fast improvement in online imitation learning. UAI 2021: 1874-1884 - [i85]Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots:
Combining pretrained CNN feature extractors to enhance clustering of complex natural images. CoRR abs/2101.02767 (2021) - [i84]Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots:
RMP2: A Structured Composable Policy Class for Robot Learning. CoRR abs/2103.05922 (2021) - [i83]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. CoRR abs/2103.12890 (2021) - [i82]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard I. Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. CoRR abs/2103.14162 (2021) - [i81]Nathan Hatch, Byron Boots:
The Value of Planning for Infinite-Horizon Model Predictive Control. CoRR abs/2104.02863 (2021) - [i80]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRR abs/2104.04644 (2021) - [i79]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
Fast Joint Space Model-Predictive Control for Reactive Manipulation. CoRR abs/2104.13542 (2021) - [i78]Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan D. Ratliff:
CoDE: Collocation for Demonstration Encoding. CoRR abs/2105.03019 (2021) - [i77]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. CoRR abs/2106.09110 (2021) - [i76]Alexander Lambert, Byron Boots:
Entropy Regularized Motion Planning via Stein Variational Inference. CoRR abs/2107.05146 (2021) - [i75]Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. CoRR abs/2109.10443 (2021) - [i74]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/2110.04669 (2021) - [i73]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. CoRR abs/2111.02972 (2021) - [i72]Hamid Izadinia, Byron Boots, Steven M. Seitz:
Nonprehensile Riemannian Motion Predictive Control. CoRR abs/2111.07986 (2021) - 2020
- [j6]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Imitation learning for agile autonomous driving. Int. J. Robotics Res. 39(2-3) (2020) - [j5]Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar:
Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles. IEEE Robotics Autom. Lett. 5(2): 3556-3563 (2020) - [c91]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. AISTATS 2020: 2218-2228 - [c90]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS 2020: 3514-3524 - [c89]Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. AISTATS 2020: 4151-4161 - [c88]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRL 2020: 883-894 - [c87]Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman:
Stein Variational Model Predictive Control. CoRL 2020: 1278-1297 - [c86]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots:
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization. ECCV (24) 2020: 395-412 - [c85]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip:
Composing Task-Agnostic Policies with Deep Reinforcement Learning. ICLR 2020 - [c84]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c83]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. ICRA 2020: 10598-10604 - [c82]Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Collaborative Interaction Models for Optimized Human-Robot Teamwork. IROS 2020: 11221-11228 - [c81]Hamid Izadinia, Byron Boots, Steven M. Seitz:
Nonprehensile Riemannian Motion Predictive Control. ISER 2020: 611-621 - [c80]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. L4DC 2020: 630-639 - [c79]Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. L4DC 2020: 840-850 - [c78]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. NeurIPS 2020 - [i71]Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. CoRR abs/2001.02153 (2020) - [i70]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. CoRR abs/2003.06820 (2020) - [i69]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots:
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. CoRR abs/2003.08375 (2020) - [i68]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. CoRR abs/2005.13143 (2020) - [i67]Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining Fast Improvement in Online Policy Optimization. CoRR abs/2007.02520 (2020) - [i66]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies. CoRR abs/2007.14256 (2020) - [i65]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR abs/2009.10019 (2020) - [i64]Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots:
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. CoRR abs/2010.10653 (2020) - [i63]Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Geometric Fabrics for the Acceleration-based Design of Robotic Motion. CoRR abs/2010.14750 (2020) - [i62]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. CoRR abs/2011.06719 (2020) - [i61]Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos:
Stein Variational Model Predictive Control. CoRR abs/2011.07641 (2020) - [i60]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. CoRR abs/2012.05909 (2020) - [i59]Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff:
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. CoRR abs/2012.13457 (2020)
2010 – 2019
- 2019
- [j4]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. Auton. Robots 43(2): 415-434 (2019) - [c77]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. AISTATS 2019: 1723-1732 - [c76]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Accelerating Imitation Learning with Predictive Models. AISTATS 2019: 3187-3196 - [c75]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CDC 2019: 1144-1151 - [c74]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRL 2019: 204-219 - [c73]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRL 2019: 1379-1394 - [c72]Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. CoRL 2019: 1457-1468 - [c71]Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. ICCV 2019: 5116-5125 - [c70]Ahmed Hussain Qureshi, Byron Boots, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. ICLR (Poster) 2019 - [c69]Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. ICML 2019: 1151-1161 - [c68]Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. ICML 2019: 6036-6045 - [c67]Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. ICRA 2019: 3165-3171 - [c66]Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. ICRA 2019: 9035-9042 - [c65]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. IROS 2019: 2358-2364 - [c64]Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-objective Policy Generation for Multi-robot Systems Using Riemannian Motion Policies. ISRR 2019: 258-274 - [c63]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. Robotics: Science and Systems 2019 - [c62]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. Robotics: Science and Systems 2019 - [i58]Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies. CoRR abs/1902.05177 (2019) - [i57]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. CoRR abs/1902.07286 (2019) - [i56]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. CoRR abs/1902.08967 (2019) - [i55]Alexander Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. CoRR abs/1903.03699 (2019) - [i54]Sandesh Adhikary, Siddarth Srinivasan, Byron Boots:
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold. CoRR abs/1903.03730 (2019) - [i53]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CoRR abs/1903.12605 (2019) - [i52]Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. CoRR abs/1904.12936 (2019) - [i51]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip:
Composing Ensembles of Policies with Deep Reinforcement Learning. CoRR abs/1905.10681 (2019) - [i50]Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. CoRR abs/1905.10948 (2019) - [i49]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/1907.07238 (2019) - [i48]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. CoRR abs/1907.09591 (2019) - [i47]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. CoRR abs/1908.00641 (2019) - [i46]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRR abs/1908.03263 (2019) - [i45]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRR abs/1910.02646 (2019) - [i44]